code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Nothing But NumPy: A 2-layer neural network
# Part... | Understanding_and_Creating_NNs/2_layer_toy_network_XOR.ipynb |
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# * Spearmint for analogy reasoning
# * Gau... | notebooks/Topics.ipynb |
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from sklearn.manifold import TSNE
import sklearn
impor... | Object Detection/TSNE-UMAP.ipynb |
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def format_address(address_string):
# Declare va... | Crash course on Pyhton/Week 4/Week 4 | Graded assignment.ipynb |
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import matplotlib.pyplot as ... | others/Data_Challenge2/Vladimir_Shteyn_Yammer.ipynb |
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from alpha_vantage.timeseries import TimeSeries
fr... | lstm/Notebooks/.ipynb_checkpoints/prototyping-checkpoint.ipynb |
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# # Part of Speech Tagging
# Several corpora with man... | notebooks/.ipynb_checkpoints/part_of_speech_tagging-checkpoint (Jeremy Nicholson's conflicted copy 2017-03-06).ipynb |
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import numpy as np
class Network:
def __in... | pytennis/game.ipynb |
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# #!/usr/bin/python3
import os
import numpy as np
impo... | poll_l_threshold_timer_conneciton_delay.ipynb |
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# # Simultaneous phase and amplitude aberration sensin... | doc/tutorial_notebooks/VectorZernikeWavefrontSensor/VectorZernikeWavefrontSensor.ipynb |
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from pathlib ... | threshold_search.ipynb |
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# <h1>Simulator</h1>
# <p>This notebook i... | notebook/simulator.ipynb |
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from datetime import date, datetime, t... | notebooks/scratch/MR-visualise_timeline_google-mobility.ipynb |
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# # A Crash Course In Python And Manipulation of Data
... | completed_lesson_part_1.ipynb |
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/ # Machine Learning Demonstrations - 5
/
/ To run these notebooks,... | notebooks/ML05 Decision Trees.ipynb |
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# # Lightning strikes
# First you have to import the ... | examples/notebooks/07_Lightning_Strikes.ipynb |
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# ## DeepExplain - Toy example of a model with multipl... | examples/multiple_input_keras.ipynb |
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# # Humpback Whale Identifaction -- public kernels sum... | public kernels summary.ipynb |
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# %matplotlib inline
import os,s... | matt_test.ipynb |
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import pandas as pd
import numpy as np
import matp... | code/merging_data.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | ai1/lectures/AI1_12_regression_case_study.ipynb |
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# %matplotlib inline
import glob
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i... | Chapter05/CNN with Image Augmentation.ipynb |
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# # Building a Chatbot with NLP and GRU mo... | gru_bot.ipynb |
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// # Lab Two
// ---
//
// Ok for this lab we're ... | JupyterNotebooks/Labs/Lab 2.ipynb |
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# # Hough Lines
# ### Import resources and display th... | Introduction to Computer Vision/Filters and Edge Detection/Hough lines.ipynb |
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# # 파이썬 scipy.stats
#
# > "작성 완료"
#
# - toc: true
# -... | _notebooks/2021-08-10-scipy-stats.ipynb |
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# #### Test att hämta data [släktdata](https://www.sla... | Jupyter/Slaktdata.ipynb |
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# # Machine Intelligence II - Team MensaNord
# ## Shee... | sheet11/sheet11.ipynb |
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import n... | Simple Calculator.ipynb |
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import sys
sys.path.append('.')
import model
# -... | contact-tracing/code/Python/Experiment--A12 on p* WS.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | class 4/class 4.ipynb |
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# code for loading the format for the notebook
imp... | ab_tests/frequentist_ab_test.ipynb |
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# <font size=5 color="red" face="arial">
# <h1 align="... | images/Sesion06b_Modulos.ipynb |
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from datetime import datetime
import os
PATH = os.getc... | Varying_params.ipynb |
# # + 
# # **First Notebook: Virtual machine test and assignment submission**
# #### This notebook will test that the virtual mach... | spark/lab0_student.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Persistent_Bugger_(6).ipynb |
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# # Train multiple-steps model
#
# This notebook cont... | notebooks/Restarting_weights_per_epoch.ipynb |
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# ## 1. Introduction
#
# The sinking of the RMS Titani... | Machine Learning From Disaster (Classification)/Titanic Dataset Prediction (Classification).ipynb |
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# ## Learning to rank
# We want to learn a function th... | murphy-book/chapter09/Learning-to-rank.ipynb |
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# ## Programming Exercise 6: Support Vector Machines
... | machine-learning/Exercise 6 - Support Vector Machines/ex6_spam.ipynb |
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Install-Module pskit -force
# +... | COVID-19.ipynb |
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# + [markdown] id="yl5YDWvEeu4a" colab_type="text"
# The purpose is to use Dr... | DropoutVAE.ipynb |
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import datetime
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# + [markdown] colab_type="text" id="lP6JLo1tGNBg"
# #... | MachineLearningAZ/Part8DeepLearning/ANN/Python/artificial_neural_network.ipynb |
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# # Chinese Poetry Generator
#
# Generates Tang poetry... | generator_pytorch.ipynb |
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# %matplotlib inline
import pandas as pd
data = pd.re... | P1/New P1.ipynb |
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# There are two basic types of graphs/visualizations: ... | .ipynb_checkpoints/yearly reports-checkpoint.ipynb |
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# # Searching the UniProt database and saving fastas:
... | notebooks/UniProt_refined_query.ipynb |
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import sys
from pathlib import Path
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# + [markdown] id="sU6UjIJbl9Qe"
# #Introduction
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import matplotl... | ExampleSets/actual_knn.ipynb |
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# # Dependencies
# + _kg_hide-input=true
import os, w... | Datasets/jigsaw-dataset-split-toxic-roberta-base-192.ipynb |
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# # Advanced Regular Expressions Lab
#
# Complete the ... | module-1/Advanced-Regex/your-code/main.ipynb |
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# + id="1v2PmJNYxxTA" colab_type="code" colab={}
#Instalamos la libreria tfle... | DNN.ipynb |
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# +
#SVD
'''
Singular Value Decomposition
us... | svd/SVD.ipynb |
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# # Notes from Linked In Learning
# ## Become a Busine... | BI-Specialist.ipynb |
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# + [markdown] id="LSIM-PITWYFa"
# <... | t81_558_class_13_05_tpu.ipynb |
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# Neural ODE のデモンストレーション (レーザービーム)
# +
import sys
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# # Introducing tf.estimator.train_and_evaluate()
#
# ... | courses/machine_learning/deepdive/02_tensorflow/labs/e_traineval.ipynb |
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# # マップ圧縮コード
# ## マップを配列に格納
#
# https://labo-code.com/python/image-analysis/image-to-list/
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# **This notebook is an exercise in the [Geospatial An... | exercise2-coordinate-reference-systems.ipynb |
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# # Lab 09: Deep Learning Part I: Fully Connected Neur... | Labs/09-DeepLearning-I/09-DeepLearning-I.ipynb |
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# # Introduction
#
# ### NetworKIN Result Files
# - Se... | Code/PreprocessingPredictionData/FormattingNetworKIN.ipynb |
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# # Tirgul 5
# The topics are:
# - Plots
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# # 对象关系映射
# 数据库中的记录可以与一个 `Python` 对象对应。
#
# 例如对于上一节中... | lijin-THU:notes-python/05-advanced-python/05.07-object-relational-mappers.ipynb |
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# # 13.3. Simulating a Brownian motion
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# +
import pandas as pd
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# + id="80H-_h1_Yzy-" colab_type="code" colab={}
#importing necessary librari... | ML_Training_udacity/5. TRANSFER LEARNING/Transfer_learning_for_flowers.ipynb |
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# + [markdown] id="iz2Tuf8C2hoc"
# # 05 - Python Finance
#
# **Capitulo 05**:... | 05_Python_Finance.ipynb |
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# #### 1. What is the most common Unicode encoding whe... | Coursera/Using Databases with Python/Week-1/Quiz/Using-Encoded-Data-in-Python-3.ipynb |
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import mysql.connector
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... | qiskit/advanced/aqua/machine_learning/qgans_for_loading_random_distributions.ipynb |
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# # 1.Objectives
# <NAME>, Helsinki Metropolia Univer... | Case1.ipynb |
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# # Overview
#
# This notebook generates fake data for... | Data Generator.ipynb |
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# # Monte Carlo Methods
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# # IMDB movie review sentiment example
#
# Build a qu... | Imdb - Simple LSTM.ipynb |
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# + [markdown] hideCode=true hidePrompt=true slideshow... | lecture-notes/06-Exploratory-Data-Analysis-and-Visualization.ipynb |
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# # Anomaly detection with an Autoencoder
# +
# %matp... | notebooks/unsupervised/neural_net/anomaly_detection_with_autoencoder.ipynb |
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"""
Necessary Libraries
"""
import cv2
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# + [markdown] tags=[]
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# ## Variables and Data Structures
# ### BIOINF 575 - ... | class_notebooks/variables_datatypes_clean.ipynb |
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import numpy as np
import csv
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# # Linear Algebra Examples
# ##### Note
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# + [markdown] id="P9kMxNEtXPxK"
# # ***Support Vector Machine (SVM)***
# -
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